Journal ArticleDOI
A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies.
TLDR
This review focuses on chemometric techniques and pharmaceutical NIRS applications, covering qualitative analyses, quantitative methods and on-line applications for near-infrared spectroscopy for pharmaceutical forms.About:
This article is published in Journal of Pharmaceutical and Biomedical Analysis.The article was published on 2007-07-27. It has received 1041 citations till now.read more
Citations
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Journal ArticleDOI
Variables selection methods in near-infrared spectroscopy.
TL;DR: This review focuses on the variable selection methods in NIR spectroscopy with some classical approaches and sophisticated methods such as successive projections algorithm (SPA), uninformative variable elimination (UVE) and elaborate search-based strategies.
Journal ArticleDOI
Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: A mini-review
TL;DR: In this article, the progress and applications of infrared techniques in biomass study, and compares the infrared and the wet chemical methods for composition analysis, are summarized and compared, in addition to reviewing recent studies of biomass structure and composition.
Journal ArticleDOI
Multivariate data analysis in pharmaceutics: a tutorial review.
Tarja Rajalahti,Olav M. Kvalheim +1 more
TL;DR: An overview of latent variable methods used in pharmaceutics and integrated with advanced characterization techniques such as vibrational spectroscopy is provided.
Journal ArticleDOI
Antioxidants: Characterization, natural sources, extraction and analysis
Mircea Oroian,Isabel Escriche +1 more
TL;DR: In this paper the main classes of antioxidants are presented: vitamins, carotenoids and polyphenols.
References
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Journal ArticleDOI
Near-infrared spectroscopy and imaging for the monitoring of powder blend homogeneity
TL;DR: Data analysis indicates that multiple sampling points were essential for accurate and precise estimation of mixing end points, and multiple runs of identical blends often display homogeneity at unique end points; demonstrating the potential advantage of monitoring every blend.
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The influence of data pre-processing in the pattern recognition of excipients near-infrared spectra.
TL;DR: Recommendations for pre-processing excipient NIR data and for choosing an appropriate classification method are given, namely the wavelength distance method combined with de-trending, a simple baseline correction method.
Journal ArticleDOI
Standardisation and Calibration Transfer for near Infrared Instruments: A Review:
TL;DR: In this article, transferring calibrations between near infrared instruments is not always straightforward, even when the instruments are nominally the same. Problems can include both wavelength shifts and differen...
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Artificial neural networks in classification of NIR spectral data: Design of the training set
TL;DR: The presented results demonstrate that selection methods based on Kennard-Stone and D-optimal designs are better than those based on the Kohonen self-organized mapping and on random selection methods and allow 100% correct classification for both recognition and prediction.
Journal ArticleDOI
Comparison of regularized discriminant analysis linear discriminant analysis and quadratic discriminant analysis applied to NIR data
TL;DR: It is concluded that in many cases, LDA or QDA should be recommended for practical use, depending on the characteristics of the data, but in those cases where even small gains in classification quality are important, the application of RDA might be useful.